Feilong Ma

Seven faculty positions in language/brain health at University of South Carolina!
sc.edu/study/colleg...

OpenNeuro @openneuro.bsky.social just hit a huge milestone: 1500 datasets! Congrats to the team on making this project so successful over the last 7 years.

Reliable individual differences in fine-grained cortical functional architecture Fine-grained functional organization of cortex is not well-conserved across individuals. As a result, individual differences in cortical functional ar…

Feilong et al. (2018, NeuroImage) doi.org/10.1016/j.ne...
Feilong et al. (2021, @elife.bsky.social ) elifesciences.org/articles/64058
Busch et al. (2024, J Neurosci @sfnjournals.bsky.social) www.jneurosci.org/content/44/6...
Feilong et al. (2023, @imagingneurosci.bsky.social) doi.org/10.1162/imag...

Check out the Dartmouth Center for Cognitive Neuroscience website for more videos from an amazing lineup of speakers! www.dartmouth.edu/ccn/workshop...

YouTube video by Dartmouth Feilong Ma - Individual differences in fine-grained brain functional architecture

It was such a great pleasure to be back at Dartmouth and share our research on modeling individual differences in fine-grained brain functional organization using hyperalignment: youtu.be/fgkRwfNpaCw

1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social

AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...

doi.org/10.1038/s415...

Advancing neural decoding with deep learning - Nature Computational Science A recent study introduces a neural code conversion method that aligns brain activity across individuals without shared stimuli, using deep neural network-derived features to match stimulus content.

Excited to share our News&Views on Kamitani Lab's NatComputSci paper! Their neural code converter enables transformation of brain activity patterns across individuals, and it doesn't need shared stimuli or connectivity information!
www.nature.com/articles/s43...

I love the work, not only because it speed up FIC models a lot, but also how it saves poor students from grad student descent 🤣🤣

(1/4) The Algonauts Project 2025 challenge is now live!

Participate and build computational models that best predict how the human brain responds to multimodal movies!

Submission deadline: 13th of July.

#algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI

algonautsproject.com

The code and data of onavg are openly available. See additional information (including code) at our website feilong.github.io/tpl-onavg/ and template files at TemplateFlow github.com/templateflow...

SUGAR: Spherical ultrafast graph attention framework for cortical surface registration Cortical surface registration plays a crucial role in aligning cortical functional and anatomical features across individuals. However, conventional r…

Surface registration methods are also rapidly developing, such as MSM by @metricsemma.bsky.social , SUGAR by
Jianxun Ren et al. Onavg can potentially be used in combination with these methods to further improve the workflow of surface-based analysis. www.sciencedirect.com/science/arti...

Geometric effects of volume-to-surface mapping of fMRI data - Brain Structure and Function In this work, we identify a problem with the process of volume-to-surface mapping of functional Magnetic Resonance Imaging (fMRI) data that emerges in local connectivity analysis. We show that neighbo...

Our functional connectivity was inspired by Ciantar et al. (2022) doi.org/10.1007/s004...
which was recently replicated by Jeganathan et al. www.biorxiv.org/content/10.1...
See also related work on volumetric data: www.um.edu.mt/library/oar/...

The creation of onavg has greatly benefited from open science. We used 1,031 high-quality brains openly available from OpenNeuro, and we deeply appreciate the participants and researchers who generously shared their data. We also thank DataLad, StudyForrest, and Center for Open Neuroscience.

In densely sampled regions, there are more vertices in each searchlight and more searchlight centers in the region, leading to prolonged computations. By uniformly sampling the cortex, onavg reduces the computational time of various commonly used algorithms.

These benefits, in theory, generalizes to any analyses that rely on sampling density, uniformity, or spatial patterns. In Extended Data Figs 7–9, we showcased how onavg benefits resting-state functional connectivity, localizer contrast maps, and modeling individual differences.

As a result of uniform sampling, the quality of spatial patterns is greatly improved, leading to increased performance of various MVPA algorithms.

We optimized the location of cortical vertices by penalizing a pair of vertices if they were too close on the anatomical surface. After the optimization, we obtained the onavg template, where vertices are evenly distributed on the anatomical surface.

Traditional templates choose their vertices based on the inflated spherical surface. Vertices are mostly uniform on the spherical surface. However, on the actual anatomical surface, vertices are often sparsely distributed on gyri and densely distributed on sulci.

A cortical surface template for human neuroscience - Nature Methods Onavg is a surface template of the human cortex. In contrast to existing templates, the cortical surface is uniformly sampled, which has advantages in numerous applications.

Our cortical surface template, onavg (short for OpenNeuro Average), is published in Nature Methods.
Onavg evenly samples different parts of the cerebral cortex, leading to improved performance of various analysis and reduced computational time.
www.nature.com/articles/s41...

PhD Candidate: Computational Cognitive Neuroscience at the Predictive Brain Lab | Radboud University Working as PhD Candidate at the Predictive Brain lab? Check our vacancies here!

🚨Job alert!🚨 Are you looking for a PhD position, and interested in neuroAI, the predictive brain and visual perception/cognition? Then this job is for you: www.ru.nl/en/working-a... Sharing/re-posting is very much appreciated!

Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development The functional connectome supports information transmission through the brain at various spatial scales, from exchange between broad cortical regions to finer-scale, vertex-wise connections that under...

Excited to shared this amazing work by the amazing Erica and colleagues! Based on data from >1000 ABCD children, we found that fine-grained connectome is more reliable but less heritable than coarse-grained, and it performs better in predicting less heritable cognitive traits.

Research Coordinator Position Gratton Laboratory, Florida State University grattonlab.org Job Description The Gratton laboratory in the Psychology Department at Florida State University in Tallahassee, FL (https://psy.fsu.edu/) is looking for a full-time research coordinator to join in on exciting functional neuroimaging research on personalized brain networks. The research coordinator will perform both data collection and analysis tasks for the laboratory. Specific duties associated with this position include the coordination, management, collection, and analysis of behavioral and fMRI data for research Interested applicants can submit send a cover letter and resume to: cgratton@fsu.edu

Research Tech Position Gratton Laboratory, Florida State University grattonlab.org Job Description The Gratton laboratory in the Psychology Department at Florida State University in Tallahassee, FL (https://psy.fsu.edu/) is looking for a full-time research tech to join in on exciting functional neuroimaging research on personalized brain networks. The research tech will focus on data analysis tasks for the laboratory. Specific duties associated with this position include the preprocessing and analysis of behavioral and fMRI data for research studies, management of the lab analysis pipeline, and training other lab members in technical skills. This position will offer opportunities for authorship-level contributions on a variety of lab projects. Interested applicants can submit send a cover letter and resume to: cgratton@fsu.edu

🚨My lab is searching for 1-2 full-time research coordinator(s) and a full-time research tech to contribute to our studies on 🧠 human brain networks🧠

Deadline: Feb. 28 for full consideration
Start date: as early as this summer
Additional info: pics below and 👇
Pls share/RT! 🙏

Are you interested in how people think about each other?

Join my lab to advance this knowledge using naturalistic designs, computational methods, and any other exciting approaches that you can think of !

PhD application deadline: Dec 6th. See shorturl.at/CU125

More about my lab: shorturl.at/pxGVW

Very cool new paper from Kamitani group on decoding visual illusions www.science.org/doi/full/10....

In this preprint, Jin Ke (@jinke.bsky.social) identified a situation-general representation of arousal encoded in patterns of dynamic FC. Collab w/ Hayoung Song, Zihan Bai, and @monicarosenb.bsky.social

See below of a teaser, and more details in the preprint! (1/X)

Gratton Lab, SFN posters 299.15 by Nathan Labora, "Individual variation in task signals from a precision fMRI dataset" 299.16 by Diana Perez, "Investigating individual differences in aging networks: a precision fMRI dataset in older adults" 299.17 by Gretchen Wulfekuhle, "A characterization of connector hub brain regions across individuals" 299.18 by Ally Dworetsky "Two distinct forms of functional netwrok variants in the human brain"

Going to #SfN23 ? Check out our lab posters on *MONDAY PM* #neuroskyence #Neuroimaging

🧵 below on each...

🌟these folks are all on the PhD/post-doc job market, so come on by if you're in search of stellar trainees🌟

@gretchenwulfekuhle.bsky.social @dianacperez.bsky.social @laboranathan.bsky.social

Our lab is recruiting a PhD student and postdoc! Check our our website to learn more about what we do: sites.dartmouth.edu/stoermerlab/
Applications for PhD students are due Dec 1st.

🚨 Updated preprint (lead: @xxming.bsky.social) on how inferences about unobserved past/future events are informed by conversations! osf.io/yp2qu/ 🚨

This update includes a new pre-registered replication + meta analysis. We think we've found some neat fundamental properties of human conversation!

🧪🧠

Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play https://www.biorxiv.org/content/10.1101/2023.10.28.564546v1 Artificial Neural networks (ANN) trained on complex tasks are increasingly used in neuroscience to m

Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play https://www.biorxiv.org/content/10.1101/2023.10.28.564546v1